Evidence map›Paper›PMID 41697296›Full record

ArticleProtoplasma2026

Metagenomic analysis of fecal microbial communities in dairy goats from different farms.

Liang Chengcheng, Zhou Yanduo, Wang Zhebin, Li Jianzhang, Zhu Yangtao, Li Jun, Li Yu, Hashim R Felemban, Othman Yahya Alyahyawy, Ahmad F Alhomodi and 4 more

Abstract read
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Article in Protoplasma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Liang ChengchengCollege of Animal Science and Technology, Xinyang Agriculture and Forestry University, Xinyang, 464000, Henan, China.
Zhou YanduoCollege of Agriculture, Xinyang Agriculture and Forestry University, Xinyang, 464000, Henan, China.
Wang ZhebinCollege of Animal Science and Technology, Xinyang Agriculture and Forestry University, Xinyang, 464000, Henan, China.
Li JianzhangCollege of Animal Science and Technology, Xinyang Agriculture and Forestry University, Xinyang, 464000, Henan, China.
Zhu YangtaoCollege of Animal Science and Technology, Xinyang Agriculture and Forestry University, Xinyang, 464000, Henan, China.
Li JunCollege of Animal Science and Technology, Xinyang Agriculture and Forestry University, Xinyang, 464000, Henan, China.
Li YuKey Laboratory for Efficient Ruminant Breeding Technology of Higher Education Institutions in Shaanxi Province, Yangling, 712100, Shaanxi, China.
Hashim R FelembanDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 22254, Saudi Arabia.
Othman Yahya AlyahyawyDepartment of Medical Laboratory Technology (MLT), Faculty of Applied Medical Sciences, King Abdulaziz University, Rabigh, Saudi Arabia.
Ahmad F AlhomodiDepartment of Biology, College of Science and Arts, Najran University, Najran, Kingdom of Saudi Arabia.
Fatimah HadadiDepartment of Biology, Faculty of Science, Al-Baha University, P.O. Box 1988, Al-Baha 65527, Al-Baha, Kingdom of Saudi Arabia.
Ali ShaibahDepartment of Biological Science, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Li BingzhiKey Laboratory for Efficient Ruminant Breeding Technology of Higher Education Institutions in Shaanxi Province, Yangling, 712100, Shaanxi, China.
Wang XianweiHenan Provincial Animal Husbandry Promotion Station, Zhengzhou, 450002, Henan, China. wangxianwei2008@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the differences in the microbial community structure of goat manure under various breeding environments, providing scientific evidence and theoretical support for healthy breeding practices. Gut microbiota is a key determinant of feed conversion, disease resistance and overall productivity in ruminants. The gut microbiome is an integral part of the digestive system. Its composition and functional traits markedly influence digestive efficiency, immune development, gut homeostasis and reproductive performance. Using four goat dairy farms in the Yangling, Shaanxi Province as study subjects, fecal samples were collected and analyzed using 16S rRNA sequencing technology, combined with α-diversity indices and β-diversity analysis. The results revealed significant differences in the microbial community structure of goat feces across different farms, with each farm exhibiting unique microbial communities. Each farm harboured distinct microbial signatures and functional profiles, providing microbiota-based targets for precision management of Guanzhong dairy goats.

Indexed as

DairyingFarmsFecesGoatsMetagenomicsMicrobiotaAnimalsFemaleRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA SequencingFecal MicrobiotaGuanzhong dairy goatMicrobial Community

Identifiers

PMID41697296

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.